About a month ago, I wrote about大约一个月前，我写 patterns I found comparing Yale and Harvard in Google searches through Google Trends模式我发现比较，耶鲁和哈佛在Google搜索通过Google趋势 . 。 Well, just today, Facebook released a simply fascinating tool called “那么，就在今天， Facebook已经发表了一份简单有趣的工具，所谓" Lexicon词汇 ” which is the same thing, but for wall posts. " ，这是同一回事，但对墙体的职位。 Computers (not humans!) track the content of every wallpost for words and phrases, and you can search for trends and comparisons over time using this new tool.电脑（不是人类！ ）轨道的内容，每wallpost单词和短语，你可以搜寻趋势和比较，在一段时间内使用这一新工具。 Very cool, right?很冷静，对不对？

Lexicon shows the number of users that posted each term per day on a profile, event or group Wall.词库显示有多少用户张贴每届任期内每天概况，事件或一组墙。 It does not count repeated terms by the same user on the same day.它不指望得到反复计算，由同一个用户在同一天。 This is to account for the seasonality of Wall posting in general; for example, there are fewer overall posts in the month of December.这是占了季节性的墙上张贴在一般;举例说，有少，整体职位在12月份。

My complaint about my previous Google Trends related efforts had been the fact that Google Trends was not targeted enough to college age students to give more precise sampling to *really* show the trends when it came to buzz about individual schools over the course of the admissions cycle.我的投诉说，我以前的Google趋势相关的努力一直是一个事实，即Google趋势，是不是有针对性不够大学年龄的学生给予更精确的采样，以*真的*显示趋势的时候，它来到buzz关于个别学校在课程招生循环。 Facebook’s demographics pretty much fix this problem, and the following chart is very exciting. Facebook的人口统计数据都很解决这个问题，请与下列图表，是非常令人兴奋。

The greatest influence here can be seen from Harvard and Princeton dropping their early programs.最大的影响力在这里可以看到来自哈佛大学和普林斯顿下降，其早期节目。 Yale has a huge attention buzz boost in December, but by spring admissions time it is at parity with Princeton (Gasp!) and Harvard has a significant edge in attention.耶鲁大学有一支庞大的注意分类推动去年12月，但由春季招生的时候，它正处于同等地位与普林斯顿（赞叹！ ）和哈佛大学有一个显着的优势，在注意。 As with Google Trends data, the same incredibly eerie trend occurs where everyone talking about school A talks exactly proportionately with those talking about school B with the same upticks and downticks, with high levels of accuracy.作为与Google趋势的数据，同样令人难以置信的怪诞的趋势出现，每个人都谈论学校的会谈正是在比例上与那些谈论乙校与上年upticks和downticks ，以高层次的准确度。

In general, the same observations as before apply… just nice to see them borne out in slightly cleaner data somewhere else.一般来说，相同意见之前，申请…刚刚尼斯看到他们证明，在稍微清洁数据在其他地方。 Read about the patterns I found in the Google Trends data by clicking阅读关于模式我发现，在Google趋势的数据通过点击 here这里 , or see below.或见下文。

Compare with比较 Google Trends data Google趋势的数据 (Red is Harvard, blue is Yale). （红色是哈佛，蓝色是耶鲁大学） 。